Senior Campaign Data and Operations Analyst

🔥 0 minutes ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

⚙️ Operations

👻 Ghost score 18%

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏨 Hospitality

✈️ Travel

💰 $100M Private Equity Round on 2022-08

Healthcare • Hospitality • Travel

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• Perform advanced data analysis using Python and SQL to support digital marketing campaigns, campaign operations, and performance optimization • Analyze customer, prospect, audience, and campaign data to identify trends, opportunities, anomalies, and actionable insights • Conduct complex campaign performance analyses to support marketing strategy, optimization, and business decision-making • Develop understanding of business objectives, audience strategies, campaign requirements, and data mappings for accurate execution and reporting • Own end-to-end campaign operations from audience selection and campaign setup through execution, validation, and reporting • Build, validate, and optimize marketing audiences across multiple data sources • Manage audience creation and list hygiene, including targeting criteria, suppression logic, exclusions, and data requirements • Deliver accurate audience files through rigorous data validation and quality control processes • Build and scale reusable campaign execution, QC, documentation, and reporting frameworks • Ensure data quality, consistency, and accuracy across marketing and campaign data sources • Maintain campaign metadata, data mappings, and reporting assets • Create and enhance campaign performance reports, dashboards, and ad hoc analyses • Develop reusable SQL queries and Python scripts to automate reporting, data preparation, validation, and recurring analysis • Create dashboards and reports monitoring campaign KPIs, customer engagement, conversion, and marketing performance metrics • Improve reporting processes and analytical frameworks for efficiency, scalability, and accuracy • Partner with marketing and campaign stakeholders to translate objectives and requirements into analytical and operational solutions • Collaborate with cross-functional teams to resolve data, audience, and campaign execution issues • Present findings, insights, and recommendations to business stakeholders

🎯 Requirements

• 5+ years of hands-on experience with Python for data analysis, including Pandas, NumPy, data manipulation, and automation • Advanced SQL skills, including complex queries, joins, CTEs, window functions, and performance optimization • Ability to independently analyze data, troubleshoot issues, develop insights, and support end-to-end campaign execution • Knowledge of CRM and marketing automation platforms such as Adobe Campaign, Salesforce Marketing Cloud, Marketo, or Eloqua • Experience with visualization tools such as Power BI or Tableau • Advanced Excel skills for data analysis, reporting, validation, reconciliation, and quality checks • Hands-on experience with email marketing, digital marketing campaigns, audience management, campaign operations, or campaign execution • Strong understanding of marketing data, audience segmentation, targeting, suppression logic, and campaign data flows • Exceptional attention to detail and a strong quality assurance mindset • Ability to identify data discrepancies and campaign execution issues • Ability to understand business context, campaign objectives, operational processes, data relationships, and data mappings • Strong analytical and problem-solving skills • Experience with statistical analysis and predictive modeling is nice to have • Understanding of A/B testing, attribution models, and customer lifecycle analytics is nice to have • Experience working in Agile environments is nice to have • Advanced English required for effective communication with global teams

🏖️ Benefits

• Certifications in AWS, Databricks, and Snowflake • Access to AI learning paths • Study plans, courses, and additional certifications tailored to the role • Access to Udemy Business • English lessons • Travel opportunities to attend industry conferences and meet clients • Career development plans and mentorship programs • Special day rewards for birthdays, work anniversaries, and other personal milestones • Company-provided equipment • Flexible working options • Other benefits may vary according to location in LATAM